/beta-cores

Coresets for scalable robust pseudo-Bayesian inference

Primary LanguagePythonMIT LicenseMIT

Code accompanying publication:

D. Manousakas, C. Mascolo. "β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers", Proceedings of the 14th International Conference on Web Search and Data Mining, 2021, https://dl.acm.org/doi/10.1145/3437963.3441793

(Preprint at: https://arxiv.org/abs/2008.13600)

Execute the run.sh scripts inside each of the examples/zellner_* folder to construct the coresets for the statistical models presented in the experiments section.